Online Media Communication Performance Statistics Based on Bayesian Algorithm

DOI

10.2991/icaset-16.2016.35How to use a DOI?

Keywords

Bayesian statistics, Classical statistics, Prior distribution, Web crawler

Abstract

Network media has become the main means of communication in modern life, this paper discusses how to do evaluation of the effect about network media dissemination, whether the media files reach the audience and the extent of the impact on the audience. To calculate the performance effect of network media, this paper designs evaluation method based on Bayesian weighted algorithm: it should not only consider the number of media files, but also consider the merits of the audience to accept the performance. We introduce a Bayesian statistical algorithm, considering various factors, to get the most objective evaluation results

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaoxing Ma
PY  - 2016/05
DA  - 2016/05
TI  - Online Media Communication Performance Statistics Based on Bayesian Algorithm
BT  - Proceedings of the 2016 6th International Conference on Applied Science, Engineering and Technology
PB  - Atlantis Press
SP  - 175
EP  - 180
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaset-16.2016.35
DO  - 10.2991/icaset-16.2016.35
ID  - Ma2016/05
ER  -